A key driver for the mixed relationship between loan risk premiums and collateral: Evidence from China

In spite of both ex-ante adverse selection and ex-post moral hazard theories supporting this mixed observable relationship between loan risk premiums and collateral, any plausible explanation for this mixed result still remains conspicuously absent in the literature. Based on a novel Chinese bank loan dataset, we show that collateral is negatively correlated with loan risk premiums, which is consistent with the ex-ante theory. However, after controlling for the purpose of the loan, mixed relationships between collateral and loan risk premiums for different types of collateral are obtained. The specific loan purpose plays an important role in determining loan risk premiums. We demonstrate that the mixed empirical results found in the existing literature to date may result from different economic characteristics of both collateral type and loan purpose, wherein particular liquidity may be of first-order importance in finally helping to demystify the mixed relationships.     

The relationship between liquidity risk and credit risk in banks

This paper investigates the relationship between the two major sources of bank default risk: liquidity risk and credit risk. We use a sample of virtually all US commercial banks during the period 1998–2010 to analyze the relationship between these two risk sources on the bank institutional-level and how this relationship influences banks’ probabilities of default (PD). Our results show that both risk categories do not have an economically meaningful reciprocal contemporaneous or time-lagged relationship. However, they do influence banks’ probability of default. This effect is twofold: whereas both risks separately increase the PD, the influence of their interaction depends on the overall level of bank risk and can either aggravate or mitigate default risk. These results provide new insights into the understanding of bank risk and serve as an underpinning for recent regulatory efforts aimed at strengthening banks (joint) risk management of liquidity and credit risks.     

An empirical investigation of the loan concentration risk in Latin America

The paper sets out to explore the factors affecting the credit quality of the Latin American region. Specifically, a logit framework is employed based on macroeconomic and financial data to determine the causes of Latin American debt crises in the last two decades. The analysis uses a modification of the default indicator to explicitly incorporate country arrear capacity. A number of domestic and international signals are found to be important in determining earlier as well as recent incidents. Domestic fundamentals, however, bear a much heavier weight than global conditions, implying that policy-makers still enjoy some freedom in preventing crises by monitoring country vulnerability. Furthermore, the study focuses on the out-of-sample classification accuracy of the proposed estimator using various criteria and provides 1-, 2- and 3-year-ahead forecasts for country default probabilities. Predictive performance is satisfactory with a reasonable reduction in accuracy in the out-of-sample period. Nevertheless, the findings indicate an upward bias towards type II errors.     

The dark side of liquidity regulation: Bank opacity and funding liquidity risk

We evaluate how the liquidity coverage rule affects US banks’ opacity and funding liquidity risk. Banks subject to the rule become significantly more opaque and funding liquidity risk increases by $245 million per quarter. Higher funding liquidity risk is more pronounced among banks that are subject to the rule’s more stringent liquidity buffers, and systemically riskier banks. Rising opacity reflects an increase in banks’ holdings of complex assets whose value is difficult to communicate to investors. The evidence highlights the unintended consequences of liquidity regulation and is consistent with theoretical models’ predictions of a trade-off between liquidity buffers and bank opacity that exacerbates funding liquidity risk.     

Nominal and true cost of loan collateral

This paper explores costs and proceeds from loan collateral in the credit market with ex-ante asymmetric information when collateral value and the probability of project success fluctuate. A borrower is willing to pledge collateral if (i) its future value is correlated with the probability of project success, or (ii) its value fluctuates strongly, or (iii) it is funded with loan capital. When one of the conditions is satisfied, in contrast to Bester (1985), a high-risk borrower may be more willing to pledge collateral than a low-risk borrower. The paper is related to topical subprime crises and real estate collateral.     

资金流动性与风险性的权衡——国外大额资金转账系统的演进

大额资金转账系统在过去20年里有着迅猛的发展,并不断努力在流动性供给和结算风险控制之间寻求平衡。该系统在设计和风险管理策略上的不断变化,是与系统交易价值在这段时间的快速增长分不开的。例如,在美国,基于Fedwire(美联储大额资金转账系统)的交易价值在1989年约为当年GDP的50倍,而到了     

The empirical risk–return relation: A factor analysis approach

Existing empirical literature on the risk–return relation uses relatively small amount of conditioning information to model the conditional mean and conditional volatility of excess stock market returns. We use dynamic factor analysis for large data sets, to summarize a large amount of economic information by few estimated factors, and find that three new factors—termed “volatility,” “risk premium,” and “real” factors—contain important information about one-quarter-ahead excess returns and volatility not contained in commonly used predictor variables. Our specifications predict 16–20% of the one-quarter-ahead variation in excess stock market returns, and exhibit stable and statistically significant out-of-sample forecasting power. We also find a positive conditional risk–return correlation.     

Seeking causality between liquidity risk and credit risk: TED-OIS spreads and CDS indexes

Since the Global Financial Crisis, credit risk and its management have become one of the most appealing topics in finance literature. In this study, we investigate the interaction of credit risk and liquidity risk through the TED and the OIS spreads and various credit default swap indexes from the CDX and the iTraxx family (CDXIG, CDXHY, ITEEU, and ITEXO). The empirical analysis is conducted through the Kapetanios unit root test, the EGARCH model, the Bootstrap Toda-Yamamoto modified Wald test and the asymmetric causality analysis. The results of symmetric and asymmetric causality methods reveal that liquidity risk appears to play an important role in credit risk, and in most cases, the TED and the OIS spreads dominate the CDS indexes. It can, thus, be concluded that the TED and the OIS spreads are superior to the CDS indexes as an early warning indicator in the credit market.     

Female CFOs and loan contracting: Financial conservatism or gender discrimination? – An empirical test based on collateral clauses

Based on signaling and gender discrimination theory, we examine whether chief financial officer(CFO) gender matters to bank–firm relationships and the designing...     

The world price of liquidity risk

This paper empirically tests the liquidity-adjusted capital asset pricing model of Acharya and Pedersen (2005) on a global level. Consistent with the model, I find evidence that liquidity risks are priced independently of market risk in international financial markets. That is, a security’s required rate of return depends on the covariance of its own liquidity with aggregate local market liquidity, as well as the covariance of its own liquidity with local and global market returns. I also show that the US market is an important driving force of global liquidity risk. Furthermore, I find that the pricing of liquidity risk varies across countries according to geographic, economic, and political environments. The findings show that the systematic dimension of liquidity provides implications for international portfolio diversification.     

The impact of joint participation on liquidity in equity and syndicated bank loan markets

Market liquidity is impacted by the presence of financial intermediaries that are informed and active participants in both the equity and the syndicated bank loan markets, specifically informationally advantaged lead arrangers of syndicated bank loans that simultaneously act as equity market makers (dual market makers). Employing a two-stage procedure with instrumental variables, we identify the simultaneous equations model of liquidity and dual market maker decisions. We find that the presence of dual market makers improves the liquidity of the more competitive and transparent equity markets, but widens the spread in the less competitive over-the-counter loan market, particularly for small, informationally opaque firms.     

Funding liquidity risk: Definition and measurement

Funding liquidity risk has played a key role in all historical banking crises. Nevertheless, a measure for funding liquidity risk based on publicly available data remains so far elusive. We address this gap by showing that aggressive bidding at central bank auctions reveals funding liquidity risk. We can extract an insurance premium from banks’ bids which we propose as a measure of funding liquidity risk. Using a unique data set consisting of all bids in all auctions for the main refinancing operation conducted at the ECB between June 2005 and October 2008 we find that funding liquidity risk is typically stable and low, with occasional spikes especially around key events during the recent crisis. We also document downward spirals between funding liquidity risk and market liquidity. As measurement without clear definitions is impossible, we initially provide definitions of funding liquidity and funding liquidity risk.     

The liquidity risk of liquid hedge funds

This paper evaluates hedge funds that grant favorable redemption terms to investors. Within this group of purportedly liquid funds, high net inflow funds subsequently outperform low net inflow funds by 4.79% per year after adjusting for risk. The return impact of fund flows is stronger when funds embrace liquidity risk, when market liquidity is low, and when funding liquidity, as measured by the Treasury-Eurodollar spread, aggregate hedge fund flows, and prime broker stock returns, is tight. In keeping with an agency explanation, funds with strong incentives to raise capital, low manager option deltas, and no manager capital co-invested are more likely to take on excessive liquidity risk. These results resonate with the theory of funding liquidity by Brunnermeier and Pedersen (2009).     

The empirical relationship between risk and return: evidence from the UK stock market

Previous studies reach no consensus on the relationship between risk and return using data from one market. We argue that the world market factor should not be ignored in assessing the risk-return relationship in a partially integrated market. Applying a bivariate generalized autoregressive conditional heteroscedasticity in mean (GARCH-M) model to the weekly stock index returns from the UK and the world market, we document a significant positive relationship between stock returns and the variance of returns in the UK stock market after controlling for the covariance of the UK and the world market return. In contrast, conventional univariate GARCH-M models typically fail to detect this relationship. Nonnested hypothesis tests supplemented with other commonly used model selection criteria unambiguously demonstrate that our bivariate GARCH-M model is more likely to be the true model for UK stock market returns than univariate GARCH-M models. Our results have implications for empirical assessments of the risk-return relationship, expected return estimation, and international diversification.     

Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk

This paper investigates the components of liquidity risk that are important for understanding asset-pricing anomalies. Firm-level liquidity is decomposed into variable and fixed price effects and estimated using intraday data for the period 1983–2001. Unexpected systematic (market-wide) variations of the variable component rather than the fixed component of liquidity are shown to be priced within the context of momentum and post-earnings-announcement drift (PEAD) portfolio returns. As the variable component is typically associated with private information [e.g., Kyle, 1985. Econometrica 53, 1315–1335], the results suggest that a substantial part of momentum and PEAD returns can be viewed as compensation for the unexpected variations in the aggregate ratio of informed traders to noise traders.     

The dark side of liquidity creation: Leverage and systemic risk

We consider a model in which the threat of bank liquidations by creditors as well as equity-based compensation incentives both discipline bankers, but with different consequences. Greater use of equity leads to lower ex-ante bank liquidity, whereas greater use of debt leads to a higher probability of inefficient bank liquidation. The bank's privately-optimal capital structure trades off these two costs. With uncertainty about aggregate risk, bank creditors learn from other banks’ liquidation decisions. Such inference can lead to contagious liquidations, some of which are inefficient; this is a negative externality that is ignored in privately-optimal bank capital structures. Thus, under plausible conditions, banks choose excessive leverage relative to the socially optimal level, providing a rationale for bank capital regulation. While a blanket regulatory forbearance policy can eliminate contagion, it also eliminates all market discipline. However, a regulator generating its own information about aggregate risk, rather than relying on market signals, can restore efficiency and market discipline by intervening selectively.     

The intertemporal relation between expected returns and risk

This paper explores the time-series relation between expected returns and risk for a large cross section of industry and size/book-to-market portfolios. I use a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) model to estimate a portfolio's conditional covariance with the market and then test whether the conditional covariance predicts time–variation in the portfolio's expected return. Restricting the slope to be the same across assets, the risk-return coefficient is highly significant with a risk–aversion coefficient (slope) between one and five. The results are robust to different portfolio formations, alternative GARCH specifications, additional state variables, and small sample biases. When conditional covariances are replaced by conditional betas, the risk premium on beta is estimated to be in the range of 3% to 5% per annum and is statistically significant.     

Determinants of municipal loan spreads: empirical evidence from Switzerland

This is the first study to investigate the determinants of risk premia paid by Swiss municipalities in the German-speaking part of Switzerland. This paper draws on a unique data set for Swiss municipalities collected during four surveys. Our results show that fiscal soundness has almost no impact on risk premia and that the introduction of a no-bailout policy did not result in higher spreads. On the other hand, investors’ general risk aversion, as well as interest rate levels, are strongly related to spread levels.     

Revisiting the relation between environmental performance and environmental disclosure: An empirical analysis

Previous empirical evidence provides mixed results on the relationship between corporate environmental performance and the level of environmental disclosures. We revisit this relation by testing competing predictions from economics based and socio-political theories of voluntary disclosure using a more rigorous research design. In particular, we improve on the prior literature by focusing on purely discretionary environmental disclosures and by developing a content analysis index based on the Global Reporting Initiative sustainability reporting guidelines to assess the extent of discretionary disclosures in environmental and social responsibility reports. This index better captures firm disclosures related to its commitment to protect the environment than the indices employed by prior studies. Using a sample of 191 firms from the five most polluting industries in the US, we find a positive association between environmental performance and the level of discretionary environmental disclosures. The result is consistent with the predictions of the economics disclosure theory but inconsistent with the negative association predicted by socio-political theories. Nevertheless, we show that socio-political theories explain patterns in the data (“legitimization”) that cannot be explained by economics disclosure theories.